摘要(英) |
For businesses, the stock has been the formulation of the number of important issues. If the portfolio stock, this could lead to customer complaints, then the loss of orders; if too much inventory of goods, will increase the financial pressure, so the company will have a higher risk of loss. Therefore, how to adapt the company planning the resources, then develop an appropriate service levels and safety stock, many companies are facing problems. In the past academic research, the main items for a single mathematical model is derived mainly inventory, while many items to consider safety stock inventory model can handle limited and items and not for finished goods for inventory improvement. According to our knowledge, the current global ERP system, no auxiliary functions to formulate the safety stock included in the standard ERP modules. Therefore, this study tried to existing product information in the ERP and sales records, data mining technology by the use of association rules to find out what kinds of products with sales of relevance, and further design algorithm to simultaneously adjust the service level of these products, and finally calculate the value of safety stock recommendations. Applications in the system implementation, this study SAP ECC6.0 system based on ABAP programming language used to write the design algorithms. To prove the feasibility of the proposed method, the system will be the historical sales data for system simulation. From the simulation results can be found, such as the use of this research proposed scheme not only able to identify the products with high sales associate, and can also calculate the appropriate safety stock level, as the planners of reference.
|
參考文獻 |
中文部份
[1] 國立中央大學管理學院ERP中心,ERP企業資源規劃導論,第三版,旗標出版股份有限公司,台北,2008。
[2] 陳景雯,「接單生產環境中BOM內各品項之生產規劃決策問題:模型與應用」,國立中央大學,碩士論文,民國92年。
[3] 侯靜媛,「客製化生產環境下物料清單內各品項之生產策略的決策問題」,國立中央大學,碩士論文,民國95年。
[4] 孫惠明,資料挖掘理論與實務規劃利用,松崗圖書出版股份有限公司,2007。
英文部份
[5] Zhao,X. , Lai,F. and LEE,T.S. ,“Evaluation of safety stock methods in multilevel material requirements planning (MRP) systems”,Production Planning & Control, Vol. 12, NO. 8, pp.794–803, 2001
[6] Sandvig,J.C. ,“Simple solutions aren’t the best ones”,IIE Solutions, Vol. 30, NO.12, pp.28-29, December 1998
[7] Charnes,J.M. ,Marmorstein,H. and Zinn,W. , “Safety stock determination with serially correlated demand in a periodic-review inventory system”, Journal of the Operational Research Society, Vol. 46, NO.8, pp.1006-1013, 1995
[8] Campbell,G.M. ,“Establishing safety stocks for master production schedules”, Production Planning & Control, Vol. 6, NO.5, pp.404-412, 1995
[9] Nechval,N.A. and Nechval,K.N. ,“Applications of invariance to estimation of safety stock levels in inventory model”,Computers & Industrial Engineering Vol.37, NO.1-2 , pp.247-250, 1999
[10] Dar-Ei,E.M. and Malmborg,C.J. ,“Improved strategy for service level-base safety stock determination”, Production Planning & Control, Vol.2, NO.2, pp.116-121, 1991
[11] Glasserman,P. ,“Bounds and asymptotics for planning critical safety stocks”, Operations Research, Vol.45, NO.2, pp.244-257, 1997
[12] Inderfurth,K. and Minner,S. ,“Safety Stocks in multi-stage inventory system”,
European Journal of Operational Research, Vol.106, NO.01, 1998
[13] Bertsimas,D. and Paschalidis,I.CH. ,“Probabilistic service level guarantees in make-to-stock manufacturing systems”, Operations Research,
Vol.49, NO.01, 2001
[14] Grupe,F.H. and Owrang,M.M., “Data base mining discovering new knowledge and coperative advantage” , Information Systems Management, Vol.12, NO.4, pp. 26-31, 1995
[15] Frawley,W.J. , Paitetsky-Shapiro G. and Matheus, C. J. , “Knowledge Discovery in Database:An Overview.,” AI Magazine,Vol.13,NO.3, pp.57-70, 1992
[16] Tsai,CY. ,Tsai,CY. And Huang,PW.,“An association clustering algorithm for can-order policies in the joint replenishment problem”, Int. J. Production Economics, Vol.117, NO.01, pp.30-41, 2009
|